Atomic Data Center [KAERI] - Optical diagnostics with...

7
Optical diagnostics with radiation trapping effect in low density and low temperature helium plasma Wonwook Lee, Kyungdeuk Park, Duck-Hee Kwon, and Cha-Hwan Oh Citation: Physics of Plasmas 23, 063516 (2016); doi: 10.1063/1.4954047 View online: http://dx.doi.org/10.1063/1.4954047 View Table of Contents: http://scitation.aip.org/content/aip/journal/pop/23/6?ver=pdfcov Published by the AIP Publishing Articles you may be interested in One-dimensional time-dependent fluid model of a very high density low-pressure inductively coupled plasma J. Appl. Phys. 118, 243303 (2015); 10.1063/1.4938490 Electrical characterization of the flowing afterglow of N2 and N2/O2 microwave plasmas at reduced pressure J. Appl. Phys. 115, 163303 (2014); 10.1063/1.4872468 Comparison between experiment and simulation for argon inductively coupled plasma Phys. Plasmas 16, 113502 (2009); 10.1063/1.3261836 Role of low-frequency power in dual-frequency capacitive discharges Appl. Phys. Lett. 95, 111502 (2009); 10.1063/1.3223593 Effect of argon additive on H − density and temperature in volume negative ion source Rev. Sci. Instrum. 75, 1747 (2004); 10.1063/1.1695618 Reuse of AIP Publishing content is subject to the terms at: https://publishing.aip.org/authors/rights-and-permissions. Downloaded to IP: 147.43.132.56 On: Fri, 17 Jun 2016 00:02:35

Transcript of Atomic Data Center [KAERI] - Optical diagnostics with...

  • Optical diagnostics with radiation trapping effect in low density and low temperaturehelium plasmaWonwook Lee, Kyungdeuk Park, Duck-Hee Kwon, and Cha-Hwan Oh Citation: Physics of Plasmas 23, 063516 (2016); doi: 10.1063/1.4954047 View online: http://dx.doi.org/10.1063/1.4954047 View Table of Contents: http://scitation.aip.org/content/aip/journal/pop/23/6?ver=pdfcov Published by the AIP Publishing Articles you may be interested in One-dimensional time-dependent fluid model of a very high density low-pressure inductively coupled plasma J. Appl. Phys. 118, 243303 (2015); 10.1063/1.4938490 Electrical characterization of the flowing afterglow of N2 and N2/O2 microwave plasmas at reduced pressure J. Appl. Phys. 115, 163303 (2014); 10.1063/1.4872468 Comparison between experiment and simulation for argon inductively coupled plasma Phys. Plasmas 16, 113502 (2009); 10.1063/1.3261836 Role of low-frequency power in dual-frequency capacitive discharges Appl. Phys. Lett. 95, 111502 (2009); 10.1063/1.3223593 Effect of argon additive on H − density and temperature in volume negative ion source Rev. Sci. Instrum. 75, 1747 (2004); 10.1063/1.1695618

    Reuse of AIP Publishing content is subject to the terms at: https://publishing.aip.org/authors/rights-and-permissions. Downloaded to IP: 147.43.132.56 On: Fri, 17 Jun

    2016 00:02:35

    http://scitation.aip.org/content/aip/journal/pop?ver=pdfcovhttp://oasc12039.247realmedia.com/RealMedia/ads/click_lx.ads/www.aip.org/pt/adcenter/pdfcover_test/L-37/871555960/x01/AIP-PT/PoP_ArticleDL_061516/SearchPT_1640x440.jpg/434f71374e315a556e61414141774c75?xhttp://scitation.aip.org/search?value1=Wonwook+Lee&option1=authorhttp://scitation.aip.org/search?value1=Kyungdeuk+Park&option1=authorhttp://scitation.aip.org/search?value1=Duck-Hee+Kwon&option1=authorhttp://scitation.aip.org/search?value1=Cha-Hwan+Oh&option1=authorhttp://scitation.aip.org/content/aip/journal/pop?ver=pdfcovhttp://dx.doi.org/10.1063/1.4954047http://scitation.aip.org/content/aip/journal/pop/23/6?ver=pdfcovhttp://scitation.aip.org/content/aip?ver=pdfcovhttp://scitation.aip.org/content/aip/journal/jap/118/24/10.1063/1.4938490?ver=pdfcovhttp://scitation.aip.org/content/aip/journal/jap/115/16/10.1063/1.4872468?ver=pdfcovhttp://scitation.aip.org/content/aip/journal/pop/16/11/10.1063/1.3261836?ver=pdfcovhttp://scitation.aip.org/content/aip/journal/apl/95/11/10.1063/1.3223593?ver=pdfcovhttp://scitation.aip.org/content/aip/journal/rsi/75/5/10.1063/1.1695618?ver=pdfcov

  • Optical diagnostics with radiation trapping effect in low density and lowtemperature helium plasma

    Wonwook Lee,1,a) Kyungdeuk Park,2 Duck-Hee Kwon,1 and Cha-Hwan Oh21Nuclear Data Center, Korea Atomic Energy Research Institute, Daejeon 34057, South Korea2Department of Physics, Hanyang University, Seoul 04763, South Korea

    (Received 19 January 2016; accepted 3 June 2016; published online 16 June 2016)

    Low density (ne< 1011 cm�3) and low temperature (Te< 10 eV) helium plasma was generated by

    hot filament discharge. Electron temperature and density of neutral helium plasma were measured

    by Langmuir probe and were determined by line intensity ratio method using optical emission

    spectroscopy with population modelings. Simple corona model and collisional-radiative (CR)

    model without consideration for radiation trapping effect are applied. In addition, CR model taking

    into account the radiation trapping effect (RTE) is adopted. The change of single line intensity ratio

    as a function of electron temperature and density were investigated when the RTE is included and

    excluded. The changes of multi line intensity ratios as a function of electron temperature were

    scanned for various radiative-excitation rate coefficients from the ground state and the helium gas

    pressures related with the RTE. Our CR modeling with RTE results in fairly better agreement of

    the spectroscopic diagnostics for the plasma temperature or density with the Langmuir probe meas-

    urements for various helium gas pressures than corona modeling and CR modeling without RTE.

    Published by AIP Publishing. [http://dx.doi.org/10.1063/1.4954047]

    I. INTRODUCTION

    Optical emission spectroscopy (OES) is a widely used

    plasma diagnostics tool because OES is easy to measure,

    does not disturb plasmas during the measurement, and its

    measurement system is simple.1 Plasma diagnostics using

    OES are based on comparison between theoretical and ex-

    perimental transition line intensity ratios. The theoretical

    transition line intensities and their ratio can be expected by a

    population modeling.2,3 Population densities of excited states

    are the functions of plasma parameters, such as electron tem-

    perature and density. Therefore, electron temperature (Te)and density (ne) can be determined from the matching of thetheoretically modeled and the experimentally measured line

    intensity ratios.

    Corona model has been normally adopted for low den-

    sity plasma (ne< 1011 cm�3) as a population model. Optical

    diagnostics using corona model have been applied to neon

    (Ne), argon (Ar), and their mixture plasmas and compared

    with another diagnostics method, such as Langmuir probe

    (LP). Based on the evaluation with another diagnostic

    method, OES synthesized with corona model has been suc-

    cessfully applied to determine the electron temperature for

    Ne4 and Ar5–7 in electron density (ne< 1011 cm�3) and tem-

    perature range (Te< 5 eV).The optical diagnostics with corona model has been

    applied to low density helium (He) plasma as well. Boivin

    et al.8 calculated the line intensity ratio of 504.8 nm/471.3 nm by corona model against various Te and measuredelectron temperature and density with LP. Electron tempera-

    ture by corona model agreed with Te� 10 eV by LP inne< 10

    11 cm�3 with reasonable accuracy. However, Podder

    et al.9 reported that their calculated line intensity ratios bycorona model show large difference with the measured line

    intensity ratio at Te< 5 eV even for similar electron densitywith Boivin’s experiment. They suggested that collisional-

    radiative (CR) model with radiation trapping effect (RTE) in

    He plasma has to be taken into account in the population

    model.

    RTE has been called as the induced absorption effect of

    atoms, stimulated absorption effect, self-absorption effect of

    photon, photo-excitation effect, and so on. The effect has

    been usually neglected in optically thin plasma. Since He

    CR modeling with radiative-excitation rate coefficient has

    been suggested by Sawada et al.,10 various He plasmas havebeen diagnosed by CR model with RTE.10–13 Especially,

    Kajita and Ohno13 compared optically diagnosed electron

    temperature and density by CR model with RTE with the LP

    measurement for high density (ne> 1011 cm�3) He plasma.

    However, in low density He plasma, the optically diagnosed

    plasma parameters by CR model with RTE have not been

    tested with another diagnostic method.

    In this paper, we determined electron temperature and

    density by using CR model with RTE for low density

    (ne< 1011 cm�3) He plasma. The optically diagnosed param-

    eters were compared with the measured parameters with LP.

    Also, our CR modeling with RTE for line intensity ratios

    was extended to plasma density and temperature regions

    beyond the low density and the low temperature to verify in

    which density and temperature regions in RTE are

    significant.

    This paper is organized as follows. In Section II, line in-

    tensity ratio method for optical diagnostics will be described

    in detail. In Section III, experimental apparatus and condi-

    tions for hot filament discharge will be stated. In Section IV,

    the RTE on the line intensity ratios will be discussed in detaila)Electronic mail: [email protected]

    1070-664X/2016/23(6)/063516/6/$30.00 Published by AIP Publishing.23, 063516-1

    PHYSICS OF PLASMAS 23, 063516 (2016)

    Reuse of AIP Publishing content is subject to the terms at: https://publishing.aip.org/authors/rights-and-permissions. Downloaded to IP: 147.43.132.56 On: Fri, 17 Jun

    2016 00:02:35

    http://dx.doi.org/10.1063/1.4954047http://dx.doi.org/10.1063/1.4954047http://dx.doi.org/10.1063/1.4954047mailto:[email protected]://crossmark.crossref.org/dialog/?doi=10.1063/1.4954047&domain=pdf&date_stamp=2016-06-16

  • for CR modeling with RTE. The optically diagnosed electron

    temperatures and densities by various population models

    will be compared with the LP measurement, temperature by

    simple corona model, and temperature and density by CR

    modeling without RTE. Finally, our results will be briefly

    concluded in Section V.

    II. LINE INTENSITY RATIO METHOD

    The radiation intensity from plasma Iki is given byIki¼EkiNkAki (W/cm3) where Eki is the energy differencebetween energy states Ei and Ek (Ek>Ei), Aki is the transitionprobability, and Nk is the population density of upper energystate k. The line intensity ratio L can be expressed by

    L ¼ IkiIpq¼ kpqNkAki

    kkiNpApq; (1)

    where kki is the transition wavelength from energy states kto i.

    Population densities of state Nk and Np in Eq. (1) can bedetermined by kinetics modelings depending on electron

    temperature and density of plasma.2,3

    A. Population density models

    Simple model for low density plasma is corona model

    which assumes that electron impact excitation and de-

    excitation between excited atoms and ions are neglected and

    spontaneous transition is only allowed by the depopulation

    process.1–3,8,9 In this assumption, population density of kstate is governed by the balance between the electron impact

    excitation from ground state to the state k and the spontane-ous emission from k state, i.e.,

    NgneCgkðTeÞ ¼ NkXi

  • states as well as the ground state, the population density of

    excited states except that of metastable states is given

    by10,11,17

    Np ¼ r0neNþ þ r1neNg þ r2neNð21SÞ þ r3neNð23SÞ; (6)

    where N(21S) and N(23S) are the population densities of met-astable states 21S and 23S, respectively. r0, r1, r2, and r3 arepopulation coefficients in Eq. (6). The first term represents

    the recombining plasma component and the other terms cor-

    respond to the ionizing plasma components in Eq. (6).3,17,18

    In our CR model calculation, the source for excitation/de-ex-

    citation rate coefficients, wavelengths, and transition proba-

    bilities is same as that in our corona model calculation stated

    above. Other atomic data for the rate equation are same as

    those used in the CR modeling by Goto.17–24 The population

    density obtained in this manner is used to determine the line

    intensity ratio of Eq. (1).

    B. Radiation trapping effect

    When plasma is optically thick, the radiation measured

    by detector becomes smaller than the radiation produced in

    plasma due to RTE. RTE is based on the induced absorption

    process of atoms where radiation spontaneously emitted by an

    atom is absorbed by another atoms in plasma. The attenuated

    radiation intensity through plasma is a function of the absorp-

    tion coefficient kpq ¼ h�pqnpBpqI�=c3,25 where np is the popu-lation density of lower state p in the RTE process, h is thePlanck’s constant, h�pq is the energy difference between pstate and the higher q state, Bpq is the Einstein B-coefficient,I� is the line shape function, and c is the speed of light. Thus,RTE is a function of population density of lower state.

    For low density plasma, optical depth is normally thin

    and is negligible. Corona model successfully determines the

    electron temperature for low density Ne and Ar plasma with-

    out considering RTE.4–6 However, for low density He

    plasma, RTE from ground state to excited states is not negli-

    gible,10,13,26 while RTE between the excited states is negligi-

    ble since most of the population is in the ground state. CR

    model including dominant RTEs from ground state to

    excited states for He is given by

    Np ¼ r0neNþ þ r1neNg þ r2neNð21SÞ þ r3neNð23SÞþ r4K31PNg þ r5K41PNg; (7)

    where K31P and K41P are radiative-excitation rate coefficientsfrom the ground state to excited states 31P and 41P, respec-

    tively.10,13 r4 and r5 are the population coefficients. In ourCR-model calculation, RTEs for 31P and 41P are taken into

    account.

    III. EXPERIMENTAL SETUP

    Low density plasma was generated with hot filament

    discharge in a vacuum vessel as shown in Fig. 2(a). The

    details of vacuum vessel and hot filament configuration are

    described in Ref. 14. The He plasma was produced by the

    discharging power of about 150 V/7.8 A and was maintained

    through adjusting the heating power for the hot filament. The

    base pressure was �3� 10�5 Torr. He gas was injected andthe gas pressure was controlled and maintained by mass-

    flow-rate controller (MFC) during the measurement. The

    plasma parameters were measured at the pressure of

    0.005–0.045 Torr. The gas pressure was adapted so that He

    transition lines clearly distinguished and plasma was main-

    tained stably. He particle density was calculated from He gas

    pressure by ideal gas law at room temperature and we

    assumed that He particle density was same to the population

    density of ground state.

    LP was installed on top of the vacuum vessel to measure

    electron temperature and density, and located at the center of

    the vacuum vessel as shown in Fig. 2(a). An optical fiber

    with a core diameter of 400 lm collected radiation fromplasma and transferred the radiation to a spectrometer. The

    optical fiber was placed toward the end of the LP as shown

    in Fig. 2(a). The spectrum of radiation was analyzed with a

    portable spectrometer (HR4000, Oceanoptics). Wavelength

    range of the spectrometer was 200 nm–1100 nm with resolu-

    tion of �1 nm. All optical systems of viewport, optical fiber,and spectrometer were relatively calibrated with a quartz

    tungsten halogen lamp (63976, ORIEL). Exposure time of

    the spectrometer was 50 ms and the spectra of plasma were

    averaged for 10 times the measurements. Fig. 2(b) shows the

    spectrum of He plasma whose background spectrum without

    discharge was measured for every spectrum of He plasma

    and eliminated.

    FIG. 2. (a) Schematic diagram for hot filament discharge and (b) spectrum

    of He plasma by hot filament discharge.

    063516-3 Lee et al. Phys. Plasmas 23, 063516 (2016)

    Reuse of AIP Publishing content is subject to the terms at: https://publishing.aip.org/authors/rights-and-permissions. Downloaded to IP: 147.43.132.56 On: Fri, 17 Jun

    2016 00:02:35

  • IV. RESULTS AND DISCUSSION

    In order to discuss the line intensity ratio variation

    depending on RTE, contour plots for line intensity ratio of

    504.8 nm (41S – 21P)/471.3 nm (43S – 23P) are displayed as a

    function of (Te, ne) for chosen population densities of metasta-ble states and radiative-excitation rate coefficient in Fig. 3.

    Line intensity ratio not considering RTE is almost independ-

    ent of electron density in ne< 1010 cm�3 while the line inten-

    sity ratio changes as a function of not only electron

    temperature but also electron density in ne> 1010cm�3, as

    shown in Fig. 3(a). When electron temperature decreases the

    line intensity ratio in Fig. 3(a) decreases monotonically. Thus,

    the line intensity ratio of 504.8 nm/471.3 nm can be used to

    determine the electron temperature by corona model depend-

    ing only on the electron temperature without RTE in the low

    electron density region of ne< 1010 cm�3. When RTE is con-

    sidered, the line intensity ratio changes as shown in Fig. 3(b).

    In the low electron density region ne< 1010 cm�3, the line in-

    tensity ratio for Te< 10 eV changes as functions of not onlythe electron temperature but also the electron density.

    However, in the low electron density region the line intensity

    ratio for Te> 10 eV is insensitive to the electron density assimilar as in Fig. 3(a). Therefore, the RTE becomes significant

    in the low density and low temperature He plasma.

    Fig. 4 shows the line intensity ratios for various transitions

    as a function of electron temperature when the radiative-

    excitation rate coefficient increased from 10�1 to 103 and the

    gas pressure is increased from 0.006 Torr to 0.06 Torr where

    N(21S)¼ 5� 103cm�3, N(23S)¼ 5� 109cm�3, and ne¼ 5� 109 cm�3. Line intensity ratio as a function of electron tem-perature for the radiative-excitation rate coefficients and the

    ground state density according to the gas pressure are different

    for various transition lines as shown in Figs. 4(a)–4(d). The

    line intensity ratios change largely in Te< 10 eV and have thesame value in Te> 10 eV when radiative-excitation rate coeffi-cient K31P increases to 10

    1. As well line intensity ratios change

    more sensitively in Te< 5 eV when the gas pressure is high.The line intensity ratio of 501.6 nm (31P – 21S)/728.1 nm is

    about 75 and is almost constant in Te< 2 eV when RTE is con-sidered. The population density of 31P state is the most effec-

    tive on the RTE and the population density in Te< 2 eV ismainly determined by RTE. As electron temperature increases

    and the electron-impact excitation and de-excitation processes

    become large in Te> 2 eV, the line intensity ratio of 501.6 nm/728.1 nm changes rapidly and meets the line intensity ratio not

    considering RTE. Therefore, RTE is the dominant process in

    low temperature (Te< 10 eV) and low density (ne< 1011 cm�3)

    He plasma.

    In corona model, line intensity ratio is given as a func-

    tion of only electron temperature, because Cgk in Eq. (3) is afunction of electron temperature. The electron temperature

    of the discharged plasma can be simply determined by com-

    paring the measured line intensity ratio with the line inten-

    sity ratio calculated by corona model. However, in CR

    model, line intensity ratio is given as a function of more

    plasma parameters. Electron temperature and electron den-

    sity in CR model are determined as the values minimizing

    the error function

    ferr Te; ne;N 21Sð Þ;N 23Sð Þ;K31P;K41P

    � �

    ¼X Lexp � LCR

    LCR

    � �2; (8)

    where Lexp and LCR are the line intensity ratios determinedby experiment and CR model, respectively.

    Fig. 5 shows the diagnosed electron temperatures and

    densities against He pressure and these plasma parameters

    are measured by LP and determined by OES combined with

    population modeling. The gray triangles represent electron

    temperature determined by corona model. Single line inten-

    sity ratio of 504.8 nm (41S – 21P)/471.3 nm (43S – 23P) is

    selected to compare with the previous results.8,9 The blue

    diamonds and red circles represent electron temperature and

    densities which are determined by CR-model with RTE and

    without RTE, respectively. Five intensity ratios of 667.8 nm

    FIG. 3. Line intensity ratios of (a) 504.8 nm/471.3 nm without RTE and (b)

    with RTE as a function of electron density and electron temperature where

    N(21S)¼ 5� 103 cm�3, N(23S)¼ 5� 109cm�3, K41P ¼ 0:1, and Ng¼ 1.93� 1014cm�3.

    063516-4 Lee et al. Phys. Plasmas 23, 063516 (2016)

    Reuse of AIP Publishing content is subject to the terms at: https://publishing.aip.org/authors/rights-and-permissions. Downloaded to IP: 147.43.132.56 On: Fri, 17 Jun

    2016 00:02:35

  • (31D – 21P)/728.1 nm (31S – 21P), 728.1 nm/706.5 nm (33S –

    23P), 501.6 nm (31P – 21S)/728.1 nm, 447.2 nm (43D – 23P)/

    706.5 nm, and 492.2 nm (41D – 21P)/728.1 nm are selected in

    the determination of the electron temperature and the elec-

    tron density by minimizing the error function of Eq. (8). The

    set of plasma parameters which minimized the error function

    ferr are displayed with the averaged value for ten sets and theerror bars which denote the maximum difference. ferr forCR-model without RTE are minimized at over than 0.96,

    while ferr for CR-model with RTE are minimized at less than0.045. The value of ferr> 0.96 means it is impossible for CRmodel without RTE to obtain the value which simultane-

    ously satisfies five line intensity ratios. Especially, the meas-

    ured intensity of 501.6 nm (31P – 21S) is larger than that of

    728.1 nm and the measured line intensity ratios of 501.6 nm/

    728.1 nm are 2–2.5 while the determined intensity by the

    CR-model without RTE is smaller than that of 728.1 nm and

    the ratio is less than 0.1. Thus, the CR-model not considering

    RTE cannot exactly expect the measured line intensity ratios

    of low density and low temperature He plasma.

    As He pressure increases, the electron temperature

    decreases and electron density increases in the case of LP

    measurement as shown in Figs. 5(a) and 5(b). The electron

    temperatures by corona model are much higher than the LP

    measurement and show different values for the LP measure-

    ment when the gas pressure increases. Also, the electron

    temperatures and densities determined by CR-model without

    RTE have large different values from the LP measurement

    when gas pressure changes. The discrepancy for electron

    temperature and density as well as their change against gas

    pressure is greatly resolved by CR model with RTE. The

    electron temperatures and densities by CR model with RTE

    are in good agreement with the LP measurement as shown in

    Fig. 5.

    V. CONCLUSION

    We have calculated the population densities of He I

    excited states by corona, CR model with RTE, and CR model

    without RTE and performed various parametric studies for the

    line intensity ratio by the CR model with RTE. When RTE

    was considered, the line intensity ratios have changed in low

    electron density (ne< 1011 cm�3) region. Line intensity ratios

    are sensitive to RTE in Te< 10 eV and RTE can be negligible

    FIG. 4. Line intensity ratios for (a)

    504.8 nm/471.3 nm, (b) 492.2 nm/

    728.1 nm, (c) 667.8 nm/728.1 nm, and (d)

    501.6 nm/728.1 nm as a function of elec-

    tron temperature at electron density of

    ne¼ 5� 109cm�3 for various radiative-excitation rate coefficients. Black and red

    lines represent the line intensity ratios

    where He gas pressure are 0.006 Torr

    (Ng¼ 1.93� 1014cm�3) and 0.06 Torr(Ng¼ 1.93� 1015cm�3), respectively.Solid lines represent the line intensity

    ratios without RTE and dashed, dashed-

    dotted, and dotted lines represent the line

    intensity ratios by considering RTE with

    the coefficients K31P ¼ 10�1, 101, and103, respectively, where N(21S)¼ 5� 103cm�3 and N(23S)¼ 5� 109cm�3.

    FIG. 5. (a) Electron temperatures by the LP measurement and by OES com-

    bined with corona model and CR model and (b) electron densities by the LP

    measurement and by OES combined with CR model as a function of He gas

    pressure. Five line intensity ratios (see the text of Sec. IV) were selected to

    determine the electron temperature and the density by the OES with the CR

    models.

    063516-5 Lee et al. Phys. Plasmas 23, 063516 (2016)

    Reuse of AIP Publishing content is subject to the terms at: https://publishing.aip.org/authors/rights-and-permissions. Downloaded to IP: 147.43.132.56 On: Fri, 17 Jun

    2016 00:02:35

  • in Te> 10 eV. RTE is the most dominant processes in lowdensity (ne< 10

    11 cm�3) and low temperature (Te< 10 eV) Heplasma. In order to determine electron temperature and density

    of He plasma, we have generated low density (ne< 1011 cm�3)

    and low temperature (Te< 10 eV) He plasma and measuredelectron temperature and density with LP and by OES with

    various population modelings for different gas pressures.

    When RTE is neglected, the optically diagnosed electron tem-

    peratures with the corona and the CR modeling show large dif-

    ference with those by the LP measurement. When RTE is

    taken into account for CR modeling, the electron density and

    temperature are in good agreement with those by the LP

    measurement.

    ACKNOWLEDGMENTS

    The authors wish to express their thanks to Dr. M. Goto

    for valuable discussions. This research was supported by

    National R & D Program funded by the Korean Ministry of

    Science, ICT, and Future Planning.

    1U. Fantz, Plasma Sources Sci. Technol. 15, S137 (2006).2H. R. Griem, Principle of Plasma Spectroscopy (Cambridge Press, NewYork, 1997), Chap. 6.

    3T. Fujimoto, Plasma Spectroscopy (Oxford press, New York, 2004),Chaps. 4, 8.

    4N. U. Rehman, M. Zkaullah, F. U. Khan, and S. Naseer, J. Appl. Phys.

    104, 123304 (2008).

    5A. A. Garamoon, A. Samir, F. F. Elakshar, A. Nosair, and E. F. Kotp,

    IEEE Trans. Plasma Sci. 35, 1 (2007).6M. A. Song, Y. W. Lee, and T. H. Chung, Phys. Plamsas 18, 023504(2011).

    7X. Zhu and Y. Pu, J. Phys. D: Appl. Phys. 43, 403001 (2010).8R. F. Boivin, J. L. Kline, and E. E. Scime, Phys. Plasmas 8, 5303 (2001).9N. K. Podder, J. A. Johnson III, C. T. Raynor, S. D. Loch, C. P. Ballance,

    and M. S. Pindzola, Phys. Plasmas 11, 5436 (2004).10K. Sawada, Y. Yamada, T. Miyachika, N. Ezumi, A. Iwamae, and M.

    Goto, Plasma Fusion Res. 5, 1 (2010).11K. Sawada, M. Goto, and N. Ezumi, Plasma Fusion Res. 6, 1401010

    (2011).12M. Goto and K. Sawada, J. Quant. Spectrosc. Radiat. Transfer 137, 23

    (2014).13S. Kajita and N. Ohno, Rev. Sci. Instrum. 82, 023501 (2011).14W. Lee, K. Park, Y. Choi, and C. Oh, J. Korean Phys. Soc. 65, 640 (2014).15Y. Ralchenko, R. K. Janev, T. Kato, D. V. Fursa, I. Bray, and F. J. de

    Heer, At. Data Nucl. Data Tables 94, 603 (2008).16W. L. Wiese and J. R. Fuhr, J. Phys. Chem. Ref. Data 38, 565 (2009).17M. Goto, J. Quant. Spectrosc. Radiat. Transfer 76, 331 (2003).18T. Fujimoto, J. Quant. Spectrosc. Radiat. Transfer 21, 439 (1979).19D. V. Fursa and I. Bray, Phys. Rev. A 52, 1279 (1995).20I. Bray and D. V. Fursa, J. Phys. B 28, L197 (1995).21D. V. Fursa and I. Bray, J. Phys. B 30, 757 (1997).22See http://dbshino.nifs.ac.jp/index.html for the electron impact excitation

    cross sections of He I.23See http://atom.curtin.edu.au/CCC-WWW/ for the electron impact excita-

    tion cross sections of He I.24M. Goto, private communication (2015).25M. Otsuka, Y. Ikee, and K. K. Ishii, J. Quant. Spectrosc. Radiat. Transfer

    21, 41 (1979).26S. Sasaki, S. Takamura, S. Watanabe, S. Masuzaki, T. Kato, and K.

    Kadata, Rev. Sci. Instrum. 67, 3521 (1996).

    063516-6 Lee et al. Phys. Plasmas 23, 063516 (2016)

    Reuse of AIP Publishing content is subject to the terms at: https://publishing.aip.org/authors/rights-and-permissions. Downloaded to IP: 147.43.132.56 On: Fri, 17 Jun

    2016 00:02:35

    http://dx.doi.org/10.1088/0963-0252/15/4/S01http://dx.doi.org/10.1063/1.3021356http://dx.doi.org/10.1109/TPS.2006.889270http://dx.doi.org/10.1063/1.3554706http://dx.doi.org/10.1088/0022-3727/43/40/403001http://dx.doi.org/10.1063/1.1418020http://dx.doi.org/10.1063/1.1812535http://dx.doi.org/10.1585/pfr.5.001http://dx.doi.org/10.1585/pfr.6.1401010http://dx.doi.org/10.1016/j.jqsrt.2013.12.003http://dx.doi.org/10.1063/1.3548923http://dx.doi.org/10.3938/jkps.65.640http://dx.doi.org/10.1016/j.adt.2007.11.003http://dx.doi.org/10.1063/1.3077727http://dx.doi.org/10.1016/S0022-4073(02)00060-2http://dx.doi.org/10.1016/0022-4073(79)90004-9http://dx.doi.org/10.1103/PhysRevA.52.1279http://dx.doi.org/10.1088/0953-4075/28/6/008http://dx.doi.org/10.1088/0953-4075/30/4/003http://dbshino.nifs.ac.jp/index.htmlhttp://atom.curtin.edu.au/CCC-WWW/http://dx.doi.org/10.1016/0022-4073(79)90126-2http://dx.doi.org/10.1063/1.1147060